
HR Tech ⢠Recruitment ⢠SaaS
10Folders is a recruitment firm specializing in assembling and expanding technical and operational teams for startups and small to medium-sized businesses (SMBs). With a diverse team of software engineers, technology leaders, and HR professionals, 10Folders is dedicated to creating long-term winning teams tailored to the unique needs of their clients, ensuring an efficient and effective hiring process.
2 - 10 employees
Founded 2024
đĽ HR Tech
đŻ Recruiter
âď¸ SaaS
2 days ago

HR Tech ⢠Recruitment ⢠SaaS
10Folders is a recruitment firm specializing in assembling and expanding technical and operational teams for startups and small to medium-sized businesses (SMBs). With a diverse team of software engineers, technology leaders, and HR professionals, 10Folders is dedicated to creating long-term winning teams tailored to the unique needs of their clients, ensuring an efficient and effective hiring process.
2 - 10 employees
Founded 2024
đĽ HR Tech
đŻ Recruiter
âď¸ SaaS
⢠Design, evaluate, and evolve a reward engine that is fair, engaging, and continuously motivating. ⢠Collaborate with Product, Engineering, and Data teams to ensure accurate and actionable insights. ⢠Plan, define, conduct, and evaluate A/B tests and experiments on reward mechanics (earning rates, conversion points, reward schedules). ⢠Identify root causes of reward system issues (inflation, imbalance, low engagement, misaligned incentives). ⢠Develop and maintain tracking concepts to collect accurate, reliable, and actionable data. ⢠Define metrics and create reports and visualizations for business stakeholders. ⢠Promote data literacy and advocate for data-driven decision-making. ⢠Use machine learning algorithms for tasks such as user segmentation, regression, and classification.
⢠5+ years of experience in product analytics for consumer-facing products. ⢠Experience in SQL and Python (including Pandas and NumPy). ⢠Ability to implement metrics, build dashboards, and create visualisations using BI tools (Looker, Tableau, Metabase). ⢠Expertise in modern data warehouses such as BigQuery or Snowflake. ⢠Familiarity with mobile analytics platforms (e.g., Adjust, Amplitude, Firebase). ⢠Strong capability in statistical analysis and statistical modeling. ⢠Ability to apply Machine Learning techniques (segmentation, regression, classification). ⢠Expertise in designing, running, and analyzing A/B tests and experimentation.
⢠Flexible working hours and remote-friendly policies within the approved time zone range. ⢠Professional development budget for training, courses, and conferences. ⢠Mental health and well-being support programs. ⢠Competitive leave policy and additional local benefits depending on location. ⢠High-quality equipment (Mac or Windows) based on your preference. ⢠Relocation support for candidates interested in moving to Berlin. ⢠A diverse, international team environment with colleagues from multiple countries.
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đŁď¸đŠđŞ German Required